library(knitr)
opts_chunk$set(comment=NA, fig.width=6, fig.height=6, results='asis', warning=FALSE, message=FALSE, cache=TRUE)

Przygotowanie

library(scales)
library(dplyr)
library(archivist)
library(gridExtra)
library(rworldmap)
library(ggthemes)
library(latticeExtra)
library(lattice)
library(ggplot2)

# store everything in the archivist repo
setLocalRepo("arepo")

q3 <- function(x) {
  a <- quantile(x, c(0.25,0.5,0.75))
  names(a) <- c("ymin", "y", "ymax")
  a
}

print.ggplot <- function(x, ...) {
  hash <- saveToRepo(x)
  cat("Load: [`archivist::aread('pbiecek/Eseje/arepo/",hash,"')`](https://github.com/pbiecek/Eseje/raw/master/arepo/gallery/",hash,".rda)\n", sep="")
  ggplot2:::print.ggplot(x, ...)
}

Dane

W tym skrypcie wykorzystujemy pakiet SmarterPoland i zbiory danych

library(SmarterPoland)
head(countries)
          country birth.rate death.rate population continent

1 Afghanistan 34.1 7.7 30552 Asia 2 Albania 12.9 9.4 3173 Europe 3 Algeria 24.3 5.7 39208 Africa 4 Andorra 8.9 8.4 79 Europe 5 Angola 44.1 13.9 21472 Africa 6 Antigua and Barbuda 16.5 6.8 90 Americas

head(maturaExam)

podstawowy.matematyka podstawowy.j.polski rok 1 19 35 2010 2 16 43 2010 3 25 39 2010 4 27 35 2010 5 27 43 2010 6 31 42 2010

Warstwy

countriesMin <- countries %>% 
  group_by(continent) %>% 
  filter(birth.rate == min(birth.rate, na.rm=TRUE))
countriesMax <- countries %>% 
  group_by(continent) %>% 
  filter(birth.rate == max(birth.rate, na.rm=TRUE))
  
theme_ggplain <- theme_bw() + theme(panel.grid.major.x = element_line(color="white"), axis.ticks=element_line(size=0), axis.text=element_text(size=0))

# pierwszy przyklad

ggplot(countries, aes(x=continent, y=birth.rate, label=country)) +
  geom_violin(scale="area", fill="grey", color="white") + 
  stat_summary(fun.data = "q3", geom = "crossbar",
               colour = "red", width = 0.4) + 
  geom_jitter(position=position_jitter(width = .25, height = 0),
             shape=15) +
  geom_rug(sides = "l") + 
  geom_text(data=countriesMin, vjust=2, color="blue3") + 
  geom_text(data=countriesMax, vjust=-1, color="blue3") + 
  theme_bw() + xlab("") + theme(panel.grid.major.x = element_line(color="white"))

Load: archivist::aread('pbiecek/Eseje/arepo/e02ad04b68e55035371b3b99112cdf3c') 

ggplot(countries, aes(x=continent, y=birth.rate, label=country)) +
  geom_text(data=countriesMin, vjust=2, color="blue3") + 
  geom_text(data=countriesMax, vjust=-1, color="blue3") + 
  theme_bw() + xlab("") + ylab("") + theme_ggplain

Load: archivist::aread('pbiecek/Eseje/arepo/0a276c489dba5d46cd9354148c12e862') 

ggplot(countries, aes(x=continent, y=birth.rate, label=country)) +
  geom_violin(scale="area", fill="grey", color="white") + 
  geom_text(data=countriesMin, vjust=2, color="white") + 
  geom_text(data=countriesMax, vjust=-1, color="white") + 
  theme_ggplain + xlab("") + ylab("")

Load: archivist::aread('pbiecek/Eseje/arepo/29ee0b9d83f0aac35402ea6b676c31cc') 

ggplot(countries, aes(x=continent, y=birth.rate, label=country)) +
  stat_summary(fun.data = "q3", geom = "crossbar",
               colour = "red", width = 0.4) + 
  geom_text(data=countriesMin, vjust=2, color="white") + 
  geom_text(data=countriesMax, vjust=-1, color="white") + 
  theme_ggplain + xlab("") + ylab("")

Load: archivist::aread('pbiecek/Eseje/arepo/5ec69be3c89b05530ac5bb74a00596bd') 

ggplot(countries, aes(x=continent, y=birth.rate, label=country)) +
  geom_jitter(position=position_jitter(width = .25, height = 0),
             shape=15) +
  geom_text(data=countriesMin, vjust=2, color="white") + 
  geom_text(data=countriesMax, vjust=-1, color="white") + 
  theme_ggplain + xlab("") + ylab("")

Load: archivist::aread('pbiecek/Eseje/arepo/4c632001bd8b1ed9cbc98a59fe3a1256') 

ggplot(countries, aes(x=continent, y=birth.rate, label=country)) +
  geom_rug(sides = "l") + 
  geom_text(data=countriesMin, vjust=2, color="white") + 
  geom_text(data=countriesMax, vjust=-1, color="white") + 
  theme_ggplain + xlab("") + ylab("")

Load: archivist::aread('pbiecek/Eseje/arepo/bf8ea76ffff69955785a94532683e829') 

# drugi przyklad

ggplot(countries, aes(x=birth.rate, y=death.rate)) +
  geom_density_2d(h=c(10,10), color="grey") +
  geom_point() + coord_fixed() +
  geom_abline(intercept=0,slope=1) + 
  geom_point(data=countries[132,], color="red", size=4) + 
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/13d5c2cf07e277c07e776473b106a1b0') 

ggplot(countries, aes(x=birth.rate, y=death.rate)) +
  geom_point() + coord_fixed() +
  theme_ggplain + xlab("") + ylab("")

Load: archivist::aread('pbiecek/Eseje/arepo/57f3dbc2d3fa1f8a95e5fa73f9a38caa') 

ggplot(countries, aes(x=birth.rate, y=death.rate)) +
  geom_point(color="white") + coord_fixed() +
  geom_density_2d(h=c(10,10), color="grey") +
  theme_ggplain + xlab("") + ylab("")

Load: archivist::aread('pbiecek/Eseje/arepo/377e6c0f3f452dcf942678f3e25c8edd') 

ggplot(countries, aes(x=birth.rate, y=death.rate)) +
  geom_point(color="white") + coord_fixed() +
  geom_abline(intercept=0,slope=1) + 
  theme_ggplain + xlab("") + ylab("")

Load: archivist::aread('pbiecek/Eseje/arepo/18e4d5cad6be58d58f028e2278bdbf70') 

ggplot(countries, aes(x=birth.rate, y=death.rate)) +
  geom_point(color="white") + coord_fixed() +
  geom_point(data=countries[132,], color="red", size=4) + 
  theme_ggplain + xlab("") + ylab("")

Load: archivist::aread('pbiecek/Eseje/arepo/ce67a432ab3efce23a52d5e743f27bf2')

Mapowania

ggplot(countries, aes(x=birth.rate, y=death.rate)) +
  geom_point() + coord_fixed() +
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/19794b19037daced210ff5c6d485d3be') 

ggplot(countries, aes(x=birth.rate, y=death.rate, 
                      color=continent, shape=continent)) +
  geom_point() + coord_fixed() +
  theme_bw() + theme(legend.position="top")

Load: archivist::aread('pbiecek/Eseje/arepo/4d7b9c309ad4875690da61c194f5ca1f') 

countries$populationCat <- cut(countries$population, 
                               c(1, 10^3, 10^4, 10^5, 10^6, 10^7), 
                               labels = c("< 1M", "< 10M","< 100 M", "< 1 B", "> 1 B"), ordered_result = TRUE)

ggplot(countries, aes(x=birth.rate, y=death.rate, 
                      color=continent, shape=continent,
                      size=populationCat)) +
  geom_point() + coord_fixed() +
  theme_bw() + theme(legend.position="top")

Load: archivist::aread('pbiecek/Eseje/arepo/f7bee75d70a77bd9e1ae66323afe8f6e')

Formy / Geometrie

Punkty

# dotplot
ggplot(countries, aes(x = continent, y = birth.rate)) +
  geom_dotplot(binaxis = "y", stackdir = "center", binwidth = 0.7) +
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/ccf21a147baebcf2498c7fc44f59e882') 

# dotplot
ggplot(countries, aes(x = birth.rate, y =death.rate)) +
  geom_point() +
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/4cc6027ddf39539bf985daefae7db7f5') 

# jitter
ggplot(countries, aes(x = continent, y =birth.rate)) +
  geom_jitter(position = position_jitter(width = .2)) +
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/7f97f57921664fcb7d30d927575dcb34') 

# różne mapownia
ggplot() +
  geom_point(data=countries, aes(x = birth.rate, y =death.rate, shape=continent), size=4) +
  theme_bw() +
  scale_shape_manual(values=c("F","A","S","E","O")) +
  theme(legend.position=c(0.9,0.17))

Load: archivist::aread('pbiecek/Eseje/arepo/9603959bdb5fcde4916de25ac635783f') 

ggplot() +
  geom_point(data=countries, aes(x = birth.rate, y =death.rate, shape=continent, color=continent), size=4) +
  theme_bw() +
  scale_shape_manual(values=c("F","A","S","E","O")) +
  theme(legend.position=c(0.9,0.17))

Load: archivist::aread('pbiecek/Eseje/arepo/0b7c872b34944871597cf7ee22a10124') 

ggplot() +
  geom_point(data=countries, aes(x = birth.rate, y =death.rate, color=continent), size=4, shape=19) +
  theme_bw() + scale_color_brewer(type = "qual", palette=6) +
  theme(legend.position=c(0.9,0.17))

Load: archivist::aread('pbiecek/Eseje/arepo/69e4470a064eca4faf21ecb10a9f9994') 

ggplot() +
  geom_point(data=countries, aes(x = birth.rate, y =death.rate, size=population)) +
  scale_size_continuous(trans="sqrt", label=comma, limits=c(0,1500000)) +
  theme_bw() + theme(legend.position="none")

Load: archivist::aread('pbiecek/Eseje/arepo/0a05f31ead54caee9572292f385caed5')

Obszar

# density
ggplot(countries, aes(x = birth.rate, fill = continent)) +
  geom_density(alpha=0.5) +
  theme_bw() + theme(legend.position=c(0.85,0.85))

Load: archivist::aread('pbiecek/Eseje/arepo/7929dd727c479b1c939b3d0c5729cdc4') 

ggplot(countries, aes(x = birth.rate, fill = continent)) +
  geom_density( position="fill", color=NA) +
  theme_bw() + theme(legend.position="top")

Load: archivist::aread('pbiecek/Eseje/arepo/43e30649a593a48c27f143b257851755') 

# vioplot
ggplot(countries, aes(x = continent, y = birth.rate, fill=continent)) +
  geom_violin() +
  theme_bw() + theme(legend.position="none")

Load: archivist::aread('pbiecek/Eseje/arepo/26d9c58bd0ff95117e1d37aeb47512de') 

# ribbon
ndf <- countries %>%
  group_by(continent) %>%
  summarise(birth.rate = weighted.mean(birth.rate, population, na.rm=TRUE),
            death.rate = weighted.mean(death.rate, population, na.rm=TRUE))

ggplot() + 
  geom_ribbon(data=ndf, aes(x=continent, ymax=birth.rate, y=birth.rate, ymin=0, group=1), fill="green3") +
  geom_ribbon(data=ndf, aes(x=continent, ymax=death.rate, y=death.rate, ymin=0, group=1), fill="red3") +
  theme_bw() + xlab("") + ylab("birth.rate / death.rate")

Load: archivist::aread('pbiecek/Eseje/arepo/70366ebb679bdc0d6bee88b9056932b7')

Prostokąty

continents <- 
  countries %>%
  group_by(continent) %>%
  summarise(birth.rate = weighted.mean(birth.rate, w = population, na.rm=TRUE),
            death.rate = weighted.mean(death.rate, w = population, na.rm=TRUE),
            population = sum(population))

# bar
ggplot(countries, aes(x = birth.rate, y = death.rate)) +
  geom_rect(xmin=12.38, xmax=27.85, ymin=0, ymax=18, alpha=0.3, fill="grey90") +
  geom_point() +
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/19bf57d4e6f50edc4e1a3d057912b044') 

# bar
ggplot(continents, aes(x = continent, y = birth.rate)) +
  geom_bar(stat = "identity") +
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/59442be9ea10e26f0b817f6ad0dd0f31') 

continents2 <- continents %>%
  mutate(cum = cumsum(population)-population)

ggplot() +
  geom_rect(data=continents2, aes(xmin=cum, ymax=0, xmax=cum+population, ymin=birth.rate, fill=continent)) +
  geom_text(data=continents2, aes(label=continent, x=cum+population/2, y=birth.rate), vjust=-0.1) + 
  theme_bw() + theme(legend.position="none") +
  xlab("population") + ylab("birth.rate")

Load: archivist::aread('pbiecek/Eseje/arepo/519b348ef25c8106739f6554d20efdd0') 

ggplot() +
  geom_rect(data=continents, aes(xmin = as.numeric(factor(continent))-0.1, 
                                 ymin = 0, 
                                 xmax = as.numeric(factor(continent))+0.2, 
                                 ymax = birth.rate),
            fill="green3") +
  geom_rect(data=continents, aes(xmin = as.numeric(factor(continent))+0.21, 
                                 ymin = birth.rate - death.rate, 
                                 xmax = as.numeric(factor(continent))+0.51, 
                                 ymax = birth.rate),
            fill="red3") +
  geom_text(data=continents, aes(x = as.numeric(factor(continent))+0.21, 
                                 y = birth.rate + 1, 
                                 label = continent)) + 
  geom_hline(yintercept=0) + ylab("birth.rate - death.rate") + xlab("") +
  geom_rug(data=continents, aes(x = as.numeric(factor(continent))+0.21, 
                                y = birth.rate - death.rate), sides="l") +
  theme_bw() + theme(axis.text.x = element_text(color="white"),
                     axis.ticks.x = element_line(color="white"))

Load: archivist::aread('pbiecek/Eseje/arepo/ddd7f9aa123375309cd1ad9a96700df0') 

# liczba krajów na kontynent
ggplot(countries, aes(x = continent, fill = continent)) +
  geom_bar() +
  theme_bw() + theme(legend.position="none") + xlab("") + ylab("Liczba krajów")

Load: archivist::aread('pbiecek/Eseje/arepo/7c0e64651d0f94435d6bb9af38289e92')

Linie

# line
ggplot(countries, aes(x = birth.rate, y = death.rate)) +
  geom_line() +
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/c05f80f85c7e7a16ae69ebba0ea0275f') 

# smooth
ggplot(countries, aes(x = birth.rate, y = death.rate)) +
  geom_point(color="white", alpha=0) +
  geom_smooth(se=FALSE, size=3, color="black") +
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/6f9b33857dc61785006596611b013acf') 

ggplot(countries, aes(x = birth.rate, y = death.rate)) +
  geom_point(color="black", alpha=0.3) +
  geom_smooth(se=FALSE, size=2, color="red4", method="lm", formula = y~poly(x,1)) +
  geom_smooth(se=FALSE, size=2, color="red3", method="lm", formula = y~poly(x,2)) +
  geom_smooth(se=FALSE, size=2, color="red1", span=0.5) +
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/fccfa878e6600c58e939979081d088b0') 

# arrow
library(grid)
countries$country <- reorder(countries$country, countries$birth.rate, mean)
ggplot() +
  geom_segment(data=countries[countries$continent == "Europe",], aes(x = country, xend = country, 
                                  y = birth.rate, yend=death.rate),
               arrow = arrow(length = unit(0.1,"cm"))) +
  theme_bw() + coord_flip() + theme(legend.position="none") + 
  ylab("<---- more births                more deaths ---->") + xlab("")

Load: archivist::aread('pbiecek/Eseje/arepo/dc15df3d9b42f188b488b5184f2813ae') 

ggplot() +
  geom_segment(data=countries[countries$continent == "Europe",], aes(x = country, xend = country, 
                                                                     y = birth.rate, yend=death.rate,
                                                                     color=death.rate > birth.rate),
               arrow = arrow(length = unit(0.1,"cm"))) +
  theme_bw() + coord_flip() + theme(legend.position="top") + 
  ylab("<---- more births                more deaths ---->") + xlab("") +
  scale_color_manual(values = c("green3", "red3"), labels=c("More births than deaths","More deaths than births"), name="")

Load: archivist::aread('pbiecek/Eseje/arepo/6066f80bf716415d37f4f40cde479193') 

ggplot() +
  geom_segment(data=countries[countries$continent == "Europe",], aes(x = country, xend = country, 
                                                                     y = birth.rate, yend=death.rate,
                                                                     size=population),
               arrow = arrow(length = unit(0.1,"cm"), type="closed")) +
  theme_bw() + coord_flip() + theme(legend.position="none") + 
  ylab("<---- more births                more deaths ---->") + xlab("")

Load: archivist::aread('pbiecek/Eseje/arepo/a3f4a11791537fd9d3ed8c3c22a825b1') 

ggplot() +
  geom_segment(data=countries[countries$continent == "Europe",], aes(x = country, xend = country, 
                                                                     y = birth.rate, yend=death.rate,
                                                                     linetype=birth.rate > death.rate),
               arrow = arrow(length = unit(0.1,"cm"), type="closed")) +
  theme_bw() + coord_flip() + theme(legend.position="top") + 
  ylab("<---- more births                more deaths ---->") + xlab("") +
  scale_linetype_manual(values = c(1,2), labels=c("More births than deaths","More deaths than births"), name="")

Load: archivist::aread('pbiecek/Eseje/arepo/1bb4e242a49297bf6a54fa64f5680416') 

# error bars
conts <- countries %>% 
  group_by(continent) %>%
  summarise(bmin = min(birth.rate, na.rm=TRUE),
            bmax = max(birth.rate, na.rm=TRUE),
            bmea = weighted.mean(birth.rate, w = population, na.rm=TRUE),
            dmin = min(death.rate, na.rm=TRUE),
            dmax = max(death.rate, na.rm=TRUE),
            dmea = weighted.mean(death.rate, w = population, na.rm=TRUE),
            population = sum(population, na.rm=TRUE)
  )

ggplot(conts, aes(x = bmea, y = dmea, 
                  ymin = dmin, ymax = dmax,
                  xmin = bmin, xmax = bmax,
                  color=continent))+
 geom_point() + 
  geom_errorbar(width=0.5) +
#  geom_errorbarh(width=0.5) + 
  theme_bw() + xlab("birth.rate") + ylab("death.rate") +
  theme(legend.position="none")

Load: archivist::aread('pbiecek/Eseje/arepo/2c21b7e6a84f25312c9bc0f02575a273')

Inne geometrie

# stat_binhex
# geomBinHex.pdf
ggplot(countries, aes(x = birth.rate, y = death.rate)) +
  stat_binhex(bins = 9) + scale_fill_gradient(low = "white", high = "black") + 
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/eed22b09727397c0b8748dc1e254f949') 

# geomRug
# geomRug.pdf
ggplot(countries, aes(x = birth.rate, y = death.rate)) +
  geom_rug() + 
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/d4d0d1b2f1aeadc298e47253987c1975') 

continents <- 
  countries %>%
  group_by(continent) %>%
  summarise(birth.rate = mean(birth.rate, na.rm=TRUE),
            death.rate = mean(death.rate, na.rm=TRUE))
  
# text
#geomText.pdf
ggplot(continents, aes(x = birth.rate, y = death.rate, label = continent)) +
  geom_text(alpha=1) +
  theme_bw() + xlim(8,35)

Load: archivist::aread('pbiecek/Eseje/arepo/7c1208e511986b6a8ac7b5b3518605d0')

Statystyki

# boxplot
ggplot(countries, aes(x = continent, y = birth.rate)) +
  geom_boxplot(fill="grey", coef = 3) +
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/de2382fd045555f9409cbce2896e6f8b') 

# crossbar
ggplot(countries, aes(x = continent, y = birth.rate)) +
  geom_jitter(position=position_jitter(width=0.25), color="grey") + 
  stat_summary(fun.data = "mean_cl_boot", geom = "crossbar", width = 0.3)  +
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/62c23aba3622949ff60366f3eadcb2c4') 

# strzalki
library(tidyr)
library(grid)
cq <- countries %>%
  group_by(continent) %>%
  summarise(q1 = quantile(birth.rate, 0.25, na.rm=TRUE),
            q2 = quantile(birth.rate, 0.5, na.rm=TRUE),
            q3 = quantile(birth.rate, 0.75, na.rm=TRUE))
cq13 <- cq %>%
  gather(key, value, -continent)

# statQ1.pdf
ggplot(cq13, aes(x=continent, y=value, group=continent)) +
  geom_jitter(data=countries, aes(x = continent, y = birth.rate), position=position_jitter(width=0.25), color="grey") + 
  geom_path(arrow=arrow(ends = "both"), size=2) + 
  geom_point(data=cq13[cq13$key == "q2",], aes(x=continent, y=value), size=5) +
  theme_bw() + xlab("") + ylab("Kwartyle i mediana dla wsp. urodzin")

Load: archivist::aread('pbiecek/Eseje/arepo/1aa47530dde226a801bcd493003f9f9a') 

# statQ2.pdf
ggplot(cq, aes(x=continent, y=q2)) +
  geom_boxplot(aes(ymin=q1, lower=q1, middle=q2, upper=q3, ymax=q3), stat="identity") +
  geom_jitter(data=countries, aes(x = continent, y = birth.rate), position=position_jitter(width=0.25), color="grey") + 
  theme_bw() + xlab("") + ylab("Kwartyle i mediana dla wsp. urodzin")

Load: archivist::aread('pbiecek/Eseje/arepo/1313e90c0c1ddec5cf9116b8e0a04834') 

# statQ3.pdf
ggplot(cq, aes(x=continent, y=q2)) +
  geom_jitter(data=countries, aes(x = continent, y = birth.rate), position=position_jitter(width=0.25), color="grey") + 
  geom_errorbar(aes(ymin=q1, ymax=q3), stat="identity", width=0.3, size=2) +
  geom_text(label="*", size=25) + 
  theme_bw() + xlab("") + ylab("Kwartyle i mediana dla wsp. urodzin")

Load: archivist::aread('pbiecek/Eseje/arepo/2fec71682ef4f75928d6e213b3abc686') 

# contour
ggplot(countries, aes(x=birth.rate, y=death.rate)) +
  coord_fixed() + xlim(0,50) + ylim(0,16)+
  geom_density2d(h=c(10,10), color="grey") +
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/d04db533e2252ce6af66a11ee2c00c27') 

ggplot(countries, aes(x=birth.rate, y=death.rate)) +
  coord_fixed() + xlim(0,50) + ylim(0,16)+
  stat_density2d(h=c(10,10), geom="polygon", alpha=0.25) +
  theme_bw()

Load: archivist::aread('pbiecek/Eseje/arepo/0c77057670bfe2e0510d2b454bd27f15') 

ggplot(countries, aes(x=birth.rate, y=death.rate)) +
  coord_fixed() + xlim(0,50) + ylim(0,16)+
  stat_density2d(h=c(10,10), geom="tile", aes(fill = ..density..), contour = FALSE) + scale_fill_gradient(low="white", high="black") +
  theme_minimal()

Load: archivist::aread('pbiecek/Eseje/arepo/3ecbf4864e8e78a32659990785ef9e57') 

ggplot(countries, aes(x=birth.rate, y=death.rate)) +
  coord_fixed() + xlim(0,50) + ylim(0,16)+
  stat_density2d(h=c(10,10), n=c(50,15), geom="point", aes(size = ..density..), contour = FALSE) + scale_size_continuous(range=c(0,2)) +
  theme_minimal()

Load: archivist::aread('pbiecek/Eseje/arepo/4becd71bfca1970acc67bcf0b7f3bdb5')

Modyfikatory położenia

tab <- table(matematyka = cut(rank(maturaExam$podstawowy.matematyka)/nrow(maturaExam), c(0,0.25,0.5,0.75,1), labels = c("matematyka <25%", "matematyka 25%-50%", "matematyka 50%-75%", "matematyka >75%")),
             polski = cut(rank(maturaExam$podstawowy.j.polski)/nrow(maturaExam), c(0,0.25,0.5,0.75,1), labels = c("polski <25%", "polski 25%-50%", "polski 50%-75%", "polski >75%")))

df <- data.frame(tab)
dfn <- colnames(df)
ggplot(df, aes_string(x = dfn[1], fill = dfn[2], y = dfn[3])) +
  geom_bar(stat = "identity", position = "fill") + theme_bw() +
  scale_y_continuous(label = percent) + scale_fill_brewer(type = "div")+
  ylab("") + theme(legend.position="none",
                   axis.text.x  = element_text(angle=90, vjust=0.5)) +
  ggtitle("position_fill") + xlab("")

Load: archivist::aread('pbiecek/Eseje/arepo/16bc6e0ae7f018aac9135d0b8fbb181a') 

ggplot(df, aes_string(x = dfn[1], fill = dfn[2], y = dfn[3])) +
  geom_bar(stat = "identity", position = "stack") + theme_bw() +
   scale_fill_brewer(type = "div")+
  ylab("") + theme(legend.position="none",
                   axis.text.x  = element_text(angle=90, vjust=0.5)) +
  ggtitle("position_stack")+ xlab("")

Load: archivist::aread('pbiecek/Eseje/arepo/57aa5541724ee432b41a68352e10d943') 

ggplot(df, aes_string(x = dfn[1], fill = dfn[2], y = dfn[3])) +
  geom_bar(stat = "identity", position = "dodge") + theme_bw() +
  scale_fill_brewer(type = "div")+
  ylab("") + theme(legend.position="none",
                   axis.text.x  = element_text(angle=90, vjust=0.5)) +
  ggtitle("position_dodge")+ xlab("")

Load: archivist::aread('pbiecek/Eseje/arepo/a186fe6ea975e1f2015b0dec03b01207') 

# dotplot
ggplot(countries, aes(x = continent, y = birth.rate)) +
  geom_point() +
  theme_bw() + #theme(axis.text.x  = element_text(angle=90, vjust=0.5)) +
  ggtitle("geom_point")+ xlab("")

Load: archivist::aread('pbiecek/Eseje/arepo/8cd5b9a6dd2cc6ad88cbe2732fc1f703') 

ggplot(countries, aes(x = continent, y = birth.rate)) +
  geom_dotplot(binaxis = "y", stackdir = "center", binwidth = 0.7) +
  theme_bw() + #theme(axis.text.x  = element_text(angle=90, vjust=0.5)) +
  ggtitle("geom_dotplot")+ xlab("")

Load: archivist::aread('pbiecek/Eseje/arepo/9a430c88e36d799806cb51cda777a6e6') 

ggplot(countries, aes(x = continent, y = birth.rate)) +
  geom_jitter(position=position_jitter(0.35)) +
  theme_bw() + #theme(axis.text.x  = element_text(angle=90, vjust=0.5)) +
  ggtitle("geom_jitter")+ xlab("")

Load: archivist::aread('pbiecek/Eseje/arepo/ce779e01e77c2cc1b443ff2cfc6d3556')

Układ współrzędnych

# dotplot
ddplot <- ggplot(countries, aes(x = birth.rate, y = death.rate)) +
  geom_point(size=2) +
  geom_smooth(size=2, se=F) + 
  theme_bw() + theme(legend.position="none", text=element_text(size=20))

ddplot

Load: archivist::aread('pbiecek/Eseje/arepo/715995b51c01f8ca13ad9df519b3e995') 

ddplot + coord_fixed()

Load: archivist::aread('pbiecek/Eseje/arepo/c271c8ac23e78644eaf7fe01b8cbd6cb') 

ddplot + coord_polar()

Load: archivist::aread('pbiecek/Eseje/arepo/d55578bd58157a88e2a4f24fa8614f22') 

ddplot + coord_trans(x = "log2", y = "sqrt")

Load: archivist::aread('pbiecek/Eseje/arepo/d28471ad130627b50db0847e434af10b') 

ddplot + coord_flip()

Load: archivist::aread('pbiecek/Eseje/arepo/55b467a68d4acbd5452f85cac165062b') 

# Mapy
map.world <- map_data(map="world")
countries[177,"country"] = "UK"
countries[135,"country"] = "Russia"
countries[76,"country"] = "Iran"

map2 <- merge(map.world, countries, by.x="region", by.y="country")
map3 <- map2[order(map2$order),]

gg <- ggplot()
gg <- gg + theme(legend.position="none")
gg <- gg + geom_map(data=map3, map=map3, color="grey", aes(map_id=region, x=long, y=lat, fill=birth.rate))
gg <- gg + scale_fill_gradient(low = "yellow", high = "blue4", guide = "colourbar") + theme_bw() + ylim(10,70)+ xlim(-25,50) +
  theme(text=element_text(size=20))+theme_map()

gg + coord_map("mollweide")

Load: archivist::aread('pbiecek/Eseje/arepo/bbbd227e5b1e7502a897e4ae0f0b3ea7') 

gg+ coord_map()

Load: archivist::aread('pbiecek/Eseje/arepo/50d3968c27e6c0f1e5a19587e599c6b4')

Miary / podziałki / skale

# Scale_fill_brewer
df <- data.frame(a=factor(1:8))

pl1 <- list()
pl2 <- list()
pl3 <- list()
for (i in 1:8) {
  pl1[[i]] <- ggplot(df, aes(x=a,fill=a)) +
    geom_bar() +
    scale_fill_brewer(type="qual",palette = i) +
    theme(axis.title.x = element_text(size=0, color="black"),
          axis.title.y = element_text(size=0, color="black"),
          axis.text.y = element_text(size=0, color="black"),
          axis.text.x = element_text(size=0, color="black"),
          line = element_blank(), rect = element_blank(), #text = element_blank(),
          plot.margin = grid::unit(c(0, 0, 0, 0), "lines"), complete = TRUE,
          legend.position="none") +
    ggtitle(paste("type = qual, palette =",i,""))
  pl2[[i]] <- pl1[[i]] + scale_fill_brewer(type="div",palette = i) +
    ggtitle(paste("type = div, palette =",i,""))
  pl3[[i]] <- pl1[[i]] + scale_fill_brewer(type="seq",palette = i) +
    ggtitle(paste("type = seq, palette =",i,""))
}

pl <- c(pl1, pl2, pl3)
pl4 <- sapply(1:8, function(i) list(pl1[[i]], pl2[[i]], pl3[[i]]))
pl$ncol=1
pl$nrow =24
pl4$ncol=3
pl4$nrow =8

pl1$ncol=1
pl1$nrow =8
pl2$ncol=1
pl2$nrow =8
pl3$ncol=1
pl3$nrow =8
do.call(grid.arrange, pl1)

do.call(grid.arrange, pl2)

do.call(grid.arrange, pl3)

do.call(grid.arrange, pl)

do.call(grid.arrange, pl4)

scales_x

plD <- ggplot(na.omit(countries), aes(x = birth.rate, y = death.rate)) +
  geom_point(size=2, color="black") +
  theme_bw()

pl <- list()

pl[[1]] <- plD + ggtitle("default")
pl[[2]] <- plD + scale_x_tufte() + scale_y_tufte() + ggtitle("_tufte")
pl[[3]] <- plD + scale_x_sqrt() + scale_y_sqrt() + ggtitle("_sqrt")
pl[[4]] <- plD + scale_x_reverse() + scale_y_reverse() + ggtitle("_reverse")
pl[[5]] <- plD + scale_x_log10() + scale_y_log10() + ggtitle("_log10")
pl[[6]] <- plD + scale_x_continuous(trans="log2") + scale_y_continuous(trans="log2") + ggtitle("_log2")


sapply(pl, print)

Load: archivist::aread('pbiecek/Eseje/arepo/272554d20023d868c0b4e9a6c9b7c0f1') Load: archivist::aread('pbiecek/Eseje/arepo/78806212b93187de0adb787c79e03197') Load: archivist::aread('pbiecek/Eseje/arepo/81be903814e095b47160781347b4e383') Load: archivist::aread('pbiecek/Eseje/arepo/e275f18ecc8006f0185511eff1b706eb') Load: archivist::aread('pbiecek/Eseje/arepo/dfdebeb1958e7130208931ba9bde0e27') Load: archivist::aread('pbiecek/Eseje/arepo/466545fce21eb8711ae330c8594eeea2') [,1] [,2] [,3] [,4] [,5] [,6]
data List,1 List,1 List,1 List,1 List,1 List,1 panel List,5 List,5 List,5 List,5 List,5 List,5 plot List,9 List,9 List,9 List,9 List,9 List,9

do.call(grid.arrange, pl)

shape

plD <- ggplot(na.omit(countries), aes(x = birth.rate, y = death.rate, shape=continent, color=continent)) +
  geom_point(size=5) +
  theme_bw()

pl <- list()

pl[[1]] <- plD + ggtitle("default")
pl[[2]] <- plD + scale_shape_stata() + ggtitle("_stata")
pl[[3]] <- plD + scale_shape_calc() + ggtitle("_calc")
pl[[4]] <- plD + scale_shape_tableau() + ggtitle("_tableau")
pl[[5]] <- plD + scale_shape_cleveland() + ggtitle("_cleveland")
pl[[6]] <- plD + scale_shape_manual(values=LETTERS) + ggtitle("_manual")


sapply(pl, print)

Load: archivist::aread('pbiecek/Eseje/arepo/d01f128e0ce8cac4353336be9098368d') Load: archivist::aread('pbiecek/Eseje/arepo/8c9db804cc653b1221e3288316b4206d') Load: archivist::aread('pbiecek/Eseje/arepo/f99998f848d124bc356cbd9d04825652') Load: archivist::aread('pbiecek/Eseje/arepo/7fe6504fbf2e7358417b713d8d760690') Load: archivist::aread('pbiecek/Eseje/arepo/5714065065c198d35115ac9adf71c33e') Load: archivist::aread('pbiecek/Eseje/arepo/ba25e05905a81c3b72b6333f943c6c7f') [,1] [,2] [,3] [,4] [,5] [,6]
data List,1 List,1 List,1 List,1 List,1 List,1 panel List,5 List,5 List,5 List,5 List,5 List,5 plot List,9 List,9 List,9 List,9 List,9 List,9

do.call(grid.arrange, pl)

Panele / oblicza

plD <- ggplot(na.omit(countries), aes(x = birth.rate, y = death.rate)) +
  stat_ellipse(color="red4")+
  geom_point(data=countries[,-5],size=1,color="grey") +
  geom_point(size=2, color="red") +
  theme_bw() + theme(legend.position="none") +
  theme(text=element_text(size=20)) +
  scale_x_sqrt() + scale_y_sqrt()

plD + facet_wrap(~continent)

Load: archivist::aread('pbiecek/Eseje/arepo/138576d2bdf30e36cbecd33667047705') 

ggplot(na.omit(countries), aes(x = birth.rate, y = death.rate, color=continent)) +
  stat_ellipse()+
  geom_point(size=2) +
  theme_bw() + theme(legend.position="none") +
  theme(text=element_text(size=20)) +
  scale_x_sqrt() + scale_y_sqrt()

Load: archivist::aread('pbiecek/Eseje/arepo/67591059d62181927cd1be87b96df864')

Dekoracje

plD <- ggplot(na.omit(countries), aes(x = birth.rate, y = death.rate)) +
  geom_point(size=2, color="black") +
  scale_x_sqrt() 

pl <- list()
pl[[1]] <- plD +   theme_bw() +  theme(legend.position="none") +
  theme(text=element_text(size=20)) + ggtitle("theme_bw")
#pl[[2]] <- plD # +   theme_calc() +  theme(legend.position="none") +
#  theme(text=element_text(size=20)) + ggtitle("theme_calc")
pl[[3]] <- plD +   theme_classic() +  theme(legend.position="none") +
  theme(text=element_text(size=20)) + ggtitle("theme_classic")
#pl[[4]] <- plD +   theme_economist() +  theme(legend.position="none") +
#  theme(text=element_text(size=20, margin = 0)) + ggtitle("theme_economist")
#pl[[5]] <- plD +   theme_economist_white() +  theme(legend.position="none") +
#  theme(text=element_text(size=20)) + ggtitle("theme_economist_white")
pl[[6]] <- plD +   theme_excel() +  theme(legend.position="none") +
  theme(text=element_text(size=20)) + ggtitle("theme_excel")
pl[[7]] <- plD +   theme_few() +  theme(legend.position="none") +
  theme(text=element_text(size=20)) + ggtitle("theme_few")
#pl[[8]] <- plD +   theme_fivethirtyeight() +  theme(legend.position="none") +
#  theme(text=element_text(size=20)) + ggtitle("theme_fivethirtyeight")
#pl[[9]] <- plD +   theme_foundation() +  theme(legend.position="none") +
#  theme(text=element_text(size=20)) + ggtitle("theme_foundation")
pl[[10]] <- plD +   theme_gray() +  theme(legend.position="none") +
  theme(text=element_text(size=20)) + ggtitle("theme_gray")
pl[[11]] <- plD +   theme_map() +  theme(legend.position="none") +
  theme(text=element_text(size=20)) + ggtitle("theme_map")
pl[[12]] <- plD +   theme_pander() +  theme(legend.position="none") +
  theme(text=element_text(size=20)) + ggtitle("theme_pander")
pl[[13]] <- plD +   theme_solarized() +  theme(legend.position="none") +
  theme(text=element_text(size=20)) + ggtitle("theme_solarized")
#pl[[14]] <- plD +   theme_stata() +  theme(legend.position="none") +
#  theme(text=element_text(size=20)) + ggtitle("theme_stata")
#pl[[15]] <- plD +   theme_wsj() +  theme(legend.position="none") +
#  theme(text=element_text(size=20)) + ggtitle("theme_wsj")
pl[[16]] <- plD +   theme_tufte() +  theme(legend.position="none") +
  theme(text=element_text(size=20)) + ggtitle("theme_tufte")
#pl[[17]] <- plD +   theme_solarized_2() +  theme(legend.position="none") +
#  theme(text=element_text(size=20)) + ggtitle("theme_solarized_2")

tmp <- sapply(pl, print)

Load: archivist::aread('pbiecek/Eseje/arepo/af17cc0ed20ac988e07d64b14e1a4ca9') NULL Load: archivist::aread('pbiecek/Eseje/arepo/61a4d4f99bc79c8e032dbadbe3ac8a77') NULL NULL Load: archivist::aread('pbiecek/Eseje/arepo/c00208ef333c3a06e9b4475b534b896c') Load: archivist::aread('pbiecek/Eseje/arepo/2d340e9aa6d50a6a765bccfbe6ccd032') NULL NULL Load: archivist::aread('pbiecek/Eseje/arepo/4c0f5fea01c9864de4dfd4a269c6c13c') Load: archivist::aread('pbiecek/Eseje/arepo/6ac617c11324782dc4c15cd60f836e33') Load: archivist::aread('pbiecek/Eseje/arepo/c454c2b6d2530eed64b23436a364c9f2') Load: archivist::aread('pbiecek/Eseje/arepo/43a3d6b746eb80982e07accb3cf69ac7') NULL NULL Load: archivist::aread('pbiecek/Eseje/arepo/b40af659ba5045e51a349f6b9c7c02b3') 

#do.call(grid.arrange, pl[c(1,10,11,  8,17,14,  4,5, 6)])